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University is recruiting postdoctoral scholars with prior training in statistics, biostatistics, computer science, bioinformatics or a closely related area. Applications are invited from ambitious, independent
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econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good communication skills in English. Required Application Materials: CV (no cover
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Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference Required Application Materials: CV 1-page cover letter describing research background and
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documentation. Select appropriate statistical tools for addressing a given research question. Conduct and interpret statistical analyses including regression, survival, and longitudinal models. Implement data
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required. Duties include: Design studies. Develop and implement protocols for quality control. Create analytic files with detailed documentation. Select appropriate statistical tools for addressing a given
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required. Duties include: Design studies. Develop and implement protocols for quality control. Create analytic files with detailed documentation. Select appropriate statistical tools for addressing a given
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these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. Duties include: Create complex charts and databases, perform statistical
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bioengineering, computer science, statistics, or mathematics OR a strong background in gene engineering and functional interrogation of hematopoietic stem and progenitor cells. Strong knowledge in bioinformatics
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quantitative discipline, with experience working with large relational databases and strong skills in statistical analyses and will conduct data analyses including but not limited to: linear/logistic regression
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statistical analyses of complex datasets and interpreting results Report writing and manuscript preparation Participate and assist with planning empirical projects. Implement regression and other statistical